Evidence map›Paper›PMID 10394316›Full record

ArticleAmerican journal of public health1999

The duration and timing of exposure: effects of socioeconomic environment on adult health.

C Power, O Manor, S Matthews

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 168 citations in OpenAlex.

  1. Pooled it
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  18. Health inequity in the Northern Territory, Australia.International journal for equity in health · 2013
    Article
  19. Article
  20. Accumulated financial strain and women's health over three decades.The journals of gerontology. Series B, Psychological sciences and social sciences · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

C PowerDepartment of Epidemiology and Public Health, Institute of Child Health, London, England. c.power@ich.ucl.ac.uk
O Manor
S Matthews
Public Health Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated timing and duration effects of socioeconomic status (SES) on self-rated health at 33 years of age and established whether health risks are modified by changing SES and whether cumulative SES operates through education.

methodsData were from the 1958 British birth cohort. Occupational class at birth and at 16, 23, and 33 years of age was used to generate a lifetime SES score.

resultsAt 33 years of age, 12% of men and women reported poor health. SES at birth and at 16, 23, and 33 years of age was significantly associated with poor health: all ages except 16 years in men made an additional contribution to the prediction of poor health. No large differences in effect sizes emerged, suggesting that timing was not a major factor. Odds of poor health increased by 15% (men) and 18% (women) with a 1-unit increase in the lifetime SES score. Strong effects of lifetime SES persisted after adjustment for education level.

conclusionsSES from birth to 33 years of age had a cumulative effect on poor health in early adulthood. This highlights the importance of duration of exposure to socioeconomic conditions for adult health.

Indexed as

Health StatusSocioeconomic FactorsAdultCohort StudiesEducational StatusFemaleHumansLogistic ModelsMaleRisk FactorsTime FactorsUnited Kingdom

Identifiers

PMID10394316
PMCPMC1508840
OpenAlexW2033123806

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.